Skip to main content
Log in

A coupling method of response surfaces (CRSM) for cutting parameters optimization in machining titanium alloy under minimum quantity lubrication (MQL) condition

  • Published:
International Journal of Precision Engineering and Manufacturing Aims and scope Submit manuscript

Abstract

This paper presents a new flexible method referring to coupling response surface methodology (CRSM) to acquire optimum cutting parameters in machining of difficult-to-cut titanium alloy under minimum quantity lubrication (MQL) condition. Cutting speed, feed rate and depth of cut are designed as three factors by using the Taguchi method, which are also subject to several constraints including processing efficiency, cutting force and surface quality. In addition, turning experiments of titanium alloy were performed in order to set up the model based on Taguchi experimental design and multiple regression method. ANOVA was carried out to prove the adequacy of the developed mathematical model and the influences of cutting parameters on constraints were also observed. The results indicated that the feed rate was the dominant factor affecting surface roughness and cutting forces, which were minimized when the feed rate and depth of cut were set to the lowest level, while cutting speed was set to the highest level. Moreover, the predicted values obtained by CRSM were in good agreement with the experimental values, which indicated that CRSM was an effective method to determine optimum cutting conditions for machining process under MQL condition.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Abbreviations

v c :

cutting speed

f :

feed rate

a p :

depth of cut (DOC)

Q r :

metal removal rate (MRR)

R a :

surface roughness

F R :

resultant cutting force

References

  1. Ramesh, S. L., Karunamoorthy, L., and Palanikumar, K., “Measurement and Analysis of Surface Roughness in Turning of Aerospace Titanium Alloy (gr5),” Measurement, Vol. 45, No. 5, pp. 1266–1276, 2012.

    Article  Google Scholar 

  2. Ginting, A. and Nouari, M., “Surface Integrity of Dry Machined Titanium Alloys,” Int. J. Mach. Tools. Manuf., Vol. 49, No. 3–4, pp. 325–332, 2009.

    Article  Google Scholar 

  3. Sridhar, B. R., Devananda, G., Ramachandra, K., and Bhat, R., “Effect of Machining Parameters and Heat Treatment on the Residual Stress Distribution in Titanium Alloy IMI-834,” J. Mater. Process. Technol., Vol. 139, No. 1–3, pp. 628–634, 2003.

    Article  Google Scholar 

  4. Sun, J. and Guo, Y. B., “A Comprehensive Experimental Study on Surface Integrity by End Milling Ti-6Al-4V,” J. Mater. Process. Technol., Vol. 209, No. 8, pp. 4036–4042, 2009.

    Article  MathSciNet  Google Scholar 

  5. Astakhov, V. P, “Metal cutting theory foundations of near-dry (MQL) machining,” Int. J. Machining and Machinability of Materials, Vol. 7, pp. 1–16, 2010.

    Article  Google Scholar 

  6. Weinert, K., Inasaki, I., Sutherland, J. W., and Wakabayashi, T., “Dry Machining and Minimum Quantity Lubrication,” CIRP Annal., Vol. 53, pp. 511–537, 2004.

    Article  Google Scholar 

  7. Sun, J., Wong, Y. S., Rahman, M., Wang, Z. G., Neo, K. S., Tan, C. H., and Onozuka, H., “Effects of Coolant Supply Methods and Cutting Conditions on Tool Life in End Milling Titanium Alloy,” Mach. Sci. Technol., Vol. 10, No. 3, pp. 355–370, 2006.

    Article  Google Scholar 

  8. Zhao, W., He, N., and Li, L., “High Speed Milling of Ti6Al4V Alloy with Minimal Quantity Lubrication,” Key. Eng. Mat., Vol. 329, pp. 663–668, 2007.

    Article  Google Scholar 

  9. Ginta, T. L., Amin, A. K. M. N., Radzi, H. C. D. M., and Lajis, M. A., “Development of Surface Roughness Models in End Milling Titanium Alloy Ti-6Al-4V Using Uncoated Tungsten Carbide Inserts,” European Journal of Scientific Research, Vol. 28, No. 4, pp. 542–551, 2009.

    Google Scholar 

  10. Oktem, H., Erzurumlu, T., and Kurtaran, H., “Application of response surface methodology in the optimization of cutting conditions for surface roughness,” J. Mater. Process. Technol., Vol. 170, pp. 11–16, 2005.

    Article  Google Scholar 

  11. Sharif, S., Mohruni, A. S., Noordin, M. Y., and Vencatesh, V. C., “Optimization of surface roughness prediction model in end milling titanium alloy (Ti-6Al-4V),” Proceeding of ICOMAST, pp. 55–59, 2006.

    Google Scholar 

  12. Choudhury, I. A. and El-Baradie, M. A., “Machinability assessment of inconel 718 by factorial design of experiment coupled with response surface methodology,” J. Mater. Process. Technol., Vol. 95, pp. 30–39, 1999.

    Article  Google Scholar 

  13. Chen, Y. and Ye, K., “A Bayesian Hierarchical Approach to Dual Response Surface Modeling,” J. of App. Sta., Vol. 38, No. 9, pp. 1963–1975, 2011.

    Article  MathSciNet  Google Scholar 

  14. Azlan, M. Z., Habibollah, H., and Safian, S., “Review of ANN Technique for Modeling Surface Roughness Performance Measure in Machining Process,” Third Asia International Conference on Modelling & Simulation, pp. 188–193, 2009.

    Google Scholar 

  15. Azlan, M. Z., Habibollah, H., and Safian, S., “Prediction of surface roughness in the end milling machining using Artificial Neural Network,” Expert Systems with Application, Vol. 37, No. 2, pp. 1755–1768, 2010.

    Article  Google Scholar 

  16. Sundara, M. K. and Rajendran, I., “A study on optimisation of cutting parameters and prediction of surface roughness in end milling of aluminium under MQL machining,” Int. J. Machining and Machinability of Materials. Vol. 7, No. 1–2, pp. 112–128, 2009.

    Google Scholar 

  17. Dhar, N. R., Ahmed, M. T., and Islam, S., “An experimental investigation on effect of minimum quantity lubrication in machining AISI 1040 steel,” Int. J. Mach. Tools. Manuf., Vol. 47, No. 5, pp. 748–753, 2007.

    Article  Google Scholar 

  18. Machado, A. R. and Wallbank, J., “The effect of extremely low lubricant volumes in machining,” Wear, Vol. 210, No. 1–2, pp. 76–82, 1997.

    Article  Google Scholar 

  19. Bruni, C., Forcellese, A., Gabrielli, F., and Simoncini, M., “Effect of the lubrication-cooling technique, insert technology and machine bed material on the workpart surface finish and tool wear in finish turning of AISI 420B,” Int. J. Mach. Tools. Manuf., Vol. 46, No. 12–13, pp. 1547–1554, 2006.

    Article  Google Scholar 

  20. Khan, M. M. A., Mithu, M. A. H., and Dhar, N. R., “Effects of minimum quantity lubrication on turning AISI 9310 alloy steel using vegetable oil based cutting fluid,” J. Mater. Process. Technol., Vol. 209, pp. 5573–5583, 2009.

    Article  Google Scholar 

  21. Dhar, N. R., Kamuzzaman, M., and Ahmed, M., “Effect of minimum quantity lubrication (MQL) on tool wear and surface roughness in turning AISI4340 steel,” J. Mater. Process. Technol., Vol. 172, pp. 299–304, 2006.

    Article  Google Scholar 

  22. Saini, S., Ahuja, I., and Sharma, V., “Influence of cutting parameters on tool wear and surface roughness in hard turning of AISI H11 tool steel using ceramic tools,” Int. J. Precis. Eng. Manuf., Vol. 13, No. 8, pp. 1295–1302, 2012.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ming Chen.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Liu, Z., Xu, J., Han, S. et al. A coupling method of response surfaces (CRSM) for cutting parameters optimization in machining titanium alloy under minimum quantity lubrication (MQL) condition. Int. J. Precis. Eng. Manuf. 14, 693–702 (2013). https://doi.org/10.1007/s12541-013-0093-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12541-013-0093-z

Keywords

Navigation